Real-time correction of regional tissue deformation during endoscopy procedure
A method for visualization guidance of device-to-image registration includes acquiring image data of a patient, generating a 3D model of the anatomy of the patient based on the image data, performing initial registration between image space and device space, advancing a device into a structure, tracking trajectory of the device in relation to the model, determining divergence between the device trajectory and the model, and effecting correction to the model or the device trajectory to minimize the divergence.
1. A method for visualization guidance of device-to-image registration by an apparatus with at least a device, a display, and a controller, the method comprising:
executing instructions in the controller to cause the apparatus to perform device-to-image registration by:
acquiring image data of a patient;
generating a three-dimensional (3D) model of the anatomy of the patient based on the image data;
performing segmentation of the model into division points;
performing initial registration between image space and device space;
advancing the device into a structure;
detecting movement of the device through the structure;
tracking trajectory of the device in relation to the model;
displaying, on the display, the model superimposed with the device trajectory of the movement of the device through the structure;
determining divergence between the device trajectory and each division point of the model; and
converging the device trajectory and the model by changing the device trajectory between each division point to effect correction to the device trajectory to minimize the divergence,
wherein, correction to the device trajectory is made to converge the device trajectory and the model by adjusting the device trajectory between each division point so the device is bounded within the model.
2. The method according to claim 1 , wherein the model is a branching or non-branching model.
3. The method according to claim 1 , wherein the structure is a branching or non-branching structure.
4. The method according to claim 1 , wherein the correction to minimize the divergence includes curve fitting through interpolations including linear interpolation, piecewise linear interpolation, or nonlinear interpolation.
5. The method according to claim 1 , wherein the controller further causes the apparatus to perform:
determining a route for the device to move to a target;
moving the device to arrive at the target; and
performing a medical procedure.
6. The method according to claim 5 , wherein the medical procedure is a biopsy or treatment delivery.
7. The method according to claim 1 , wherein the controller further causes the apparatus to perform:
changing the model or the device trajectory to effect correction to the device trajectory through iterations.
8. The method according to claim 1 , wherein the controller further causes the apparatus to perform:
changing the model or the device trajectory to effect correction to the device trajectory by determining a correction coefficient.
9. The method according to claim 1 , wherein the controller further causes the apparatus to perform artificial intelligence or machine learning to change at least one of the device trajectory or the model to effect correction to the device trajectory.
10. The method according to claim 9 , wherein the artificial intelligence or machine learning is iterative.
11. An apparatus for visualization guidance of device-to-image registration, the apparatus comprising:
a device;
a display; and
a controller configured to execute instructions to cause the apparatus to perform device-to-image registration by:
acquiring image data of a patient;
generating a three-dimensional (3D) model of the anatomy of the patient based on the image data;
performing segmentation of the model into division points; performing initial registration between image space and device space;
advancing the device into a structure;
detecting movement of the device through the structure;
tracking trajectory of the device in relation to the model;
displaying, on the display, the model superimposed with the device trajectory of the movement of the device through the structure;
determining divergence between the device trajectory and each division point of the model; and
converging the device trajectory and the model by changing the device trajectory between each division point to effect correction to the device trajectory to minimize the divergence,
wherein, correction to the device trajectory is made to converge the device trajectory and the model by adjusting the device trajectory between each division point so the device is bounded within the model.
12. The apparatus according to claim 11 , wherein the model is a branching or non-branching model.
13. The apparatus according to claim 11 , wherein the structure is a branching or non-branching structure.
14. The apparatus according to claim 11 , wherein the controller further causes the apparatus to perform changing the device trajectory to effect correction to minimize the divergence by curve fitting through interpolations including linear interpolation, piecewise linear interpolation, or nonlinear interpolation.
15. The apparatus according to claim 11 , wherein the controller further causes the apparatus to perform:
determining a route for the device to move to a target;
moving the device to arrive at the target; and
performing a medical procedure.
16. The apparatus according to claim 15 , wherein the medical procedure is a biopsy or treatment delivery.
17. The apparatus according to claim 11 , wherein the controller further causes the apparatus to perform changing the device trajectory to effect correction through iterations.
18. The apparatus according to claim 11 , wherein the controller further causes the apparatus to perform determining a correction coefficient.
19. The apparatus according to claim 1 , wherein the controller further causes the apparatus to perform artificial intelligence or machine learning to change the device trajectory to effect correction to the device trajectory.
20. The apparatus according to claim 19 , wherein the artificial intelligence or machine learning is iterative.
21. A non-transitory storage medium storing a program for causing a computer to execute a method for visualization guidance of device-to-image registration by an apparatus with at least a device, a display, and a controller, the method comprising:
executing instructions in the controller to cause the apparatus to perform device-to-image registration by:
acquiring image data of a patient;
generating a three-dimensional (3D) model of the anatomy of the patient based on the image data;
performing segmentation of the model into division points;
performing initial registration between image space and device space;
advancing the device into a structure;
detecting movement of the device through the structure;
tracking trajectory of the device in relation to the model;
displaying, on the display, the model superimposed with the device trajectory of the movement of the device through the structure;
determining divergence between the device trajectory and each division point of the model; and
converging the device trajectory and the model by changing the device trajectory between each division point to effect correction to the device trajectory to minimize the divergence,
wherein, correction to the device trajectory is made to converge the device trajectory and the model by adjusting the device trajectory between each division point so the device is bounded within the model.
22. The method according to claim 1 , wherein the controller further causes the apparatus to perform converging the device trajectory and the model by changing the model to effect correction to the model to minimize the divergence,
wherein, correction to the model is made to converge the device trajectory and the model by adjusting the model to align with the device trajectory.
23. The apparatus according to claim 11 , wherein the controller further causes the apparatus to perform converging the device trajectory and the model by changing the model to effect correction to the model to minimize the divergence,
wherein, correction to the model is made to converge the device trajectory and the model by adjusting the model to align with the device trajectory.